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Publications

Welcome to the Great Lakes Science Center's Publications page.

Filter Total Items: 2672

Climate-influenced phenology of larval fish transport in a large lake Climate-influenced phenology of larval fish transport in a large lake

Elucidating physical transport phenologies in large lakes can aid understanding of larval recruitment dynamics. Here, we integrate a series of climate, hydrodynamic, biogeochemical, and Lagrangian particle dispersion models to: (1) simulate hatch and transport of fish larvae throughout an illustrative large lake, (2) evaluate patterns of historic and potential future climate-induced...
Authors
Spencer T. Gardner, Mark D. Rowe, Pengfei Xue, Xing Zhou, Peter Alsip, David Bunnell, Paris D. Collingsworth, Edward S. Rutherford, Tomas O. Hook

A decade-long study demonstrates that a population of invasive sea lamprey (Petromyzon marinus) can be controlled by introducing sterilized males A decade-long study demonstrates that a population of invasive sea lamprey (Petromyzon marinus) can be controlled by introducing sterilized males

The release of sterilized insects to control pest populations has been used successfully during the past 6 decades, but application of the method in vertebrates has largely been overlooked or met with failure. Here, we demonstrate for the first time in fish, that a small population of sea lamprey (Petromyzon marinus; Class Agnatha), arguably one of the most impactful invasive fish in the...
Authors
Nicholas S. Johnson, Sean Alois Lewandoski, Aaron K. Jubar, Matthew J Symbal, Solomon M Benson, Gale A Bravener, Jessica M. Barber, Michael J. Siefkes

Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report

Thiamine deficiency in lake trout eggs has been identified to induce early life-stage mortality in the Great Lakes in the 1960s through the 1990s and potentially affecting lake trout recruitment. As a results, the U.S. Geological Survey’s Great Lakes Science Center (GLSC), Eastern Ecological Science Center, and Columbia Environmental Research Center (CERC), and the State University of...
Authors
Jacques Rinchard, James P. Ludwig, Brian F. Lantry, Brian O’Malley

Lake Ontario August gillnet survey and Lake Trout assessment, 2023 Lake Ontario August gillnet survey and Lake Trout assessment, 2023

Lake Ontario lake trout (Salvelinus namaycush) rehabilitation has been annually assessed with fishery independent surveys since 1983, to evaluate program benchmarks and compare observations with management objectives. These surveys provide information on the abundance, strain composition, and condition of the adult lake trout stock, as well as information on levels of natural recruitment...
Authors
Brian O’Malley, Scott P. Minihkeim, Olivia Margaret Mitchinson, Scott David Stahl, Michael Connerton, Jessica A. Goretzke, Collin Farrell, Dimitry Gorsky

Real-time invasive sea lamprey detection using machine learning classifier models on embedded systems Real-time invasive sea lamprey detection using machine learning classifier models on embedded systems

Invasive sea lamprey (Petromyzon marinus) has historically inflicted considerable economic and ecological damage in the Great Lakes and continues to be a major threat. Accurately monitoring sea lampreys are critical to enabling the deployment of more targeted and effective control measures to minimize the impact associated with this species. This paper presents the first stand-alone...
Authors
Ian Gonzalez-Afanador, Claudia Chen, Gerardo Morales-Torres, Scott M. Miehls, Hongyang Shi, Xiaobo Tan, Nelson Sepulveda

Zebra and Quagga mussels in the United States—Dreissenid mussel research by the U.S. Geological Survey Zebra and Quagga mussels in the United States—Dreissenid mussel research by the U.S. Geological Survey

The U.S. Geological Survey (USGS) delivers high-quality data, technologies, and decision-support tools to help managers both reduce existing populations and control the spread of dreissenid mussels. The USGS researches ecology, biology, risk assessment, and early detection and rapid response methods; provides decision support; and develops and tests control measures.
Authors
Cayla R. Morningstar, Patrick M. Kocovsky, Michael E. Colvin, Timothy D. Counihan, Wesley M. Daniel, Peter C. Esselman, Cathy A. Richter, Adam Sepulveda, Diane L. Waller

On the survival and habitat use of hatchery-reared cisco (Coregonus artedi) in Lake Erie On the survival and habitat use of hatchery-reared cisco (Coregonus artedi) in Lake Erie

Cisco (Coregonus artedi) have been extirpated from Lake Erie in North America since the 1960s, but they once supported one of the largest Laurentian Great Lakes fisheries. Numerous potential impediments to rehabilitation have been identified, including summer habitat refugia and predation. We used acoustic telemetry to investigate the thermal habitat use and survival of hatchery-reared...
Authors
Richard Kraus, James Markham, Jason Robinson, Thomas MacDougall, Matthew Faust, Joseph Schmitt, Christopher Vandergoot, James E. McKenna, Dimitri Gorsky

Impacts of artificial rearing on cisco Coregonus artedi morphology, including pugheadedness Impacts of artificial rearing on cisco Coregonus artedi morphology, including pugheadedness

Cisco (Coregonus artedi Lesueur, 1818) in the Laurentian Great Lakes declined throughout the 19th and 20th centuries. Managers are attempting to restore Great Lakes cisco and other coregonines using multiple approaches, including stocking. A potential obstacle to these efforts is that artificially reared coregonines can display deformities and morphological differences compared to wild...
Authors
Andrew Edgar Honsey, Katie Victoria Anweiler, David Bunnell, Cory Brant, Georgia Wende Hoffman, Brian O’Malley, Kevin Keeler, Chris Olds, Jeremy Kraus, Yu-Chun Kao, Wendylee Stott

Evaluating effectiveness of restoration to address current stressors to riverine fish Evaluating effectiveness of restoration to address current stressors to riverine fish

River restoration programmes with the goal of conserving and rehabilitating inland fishes have a multi-decadal history, but evaluation and synthesis of past restoration actions have been limited by a lack of monitoring and reporting. Given that calls for both monitoring and systematic reviews of restoration have increased, we were interested in the influence that restoration has had on...
Authors
Jane S. Rogosch, Hadley I. A. Boehm, Ralph W. Tingley, Kiah D. Wright, Elisabeth B. Webb, Craig P. Paukert

First documentation of grass carp spawning in Lake Erie’s Central Basin First documentation of grass carp spawning in Lake Erie’s Central Basin

Grass carp (Ctenopharyngodon idella) are non-indigenous to North America having been translocated to the United States in the 1960s as a potential non-chemical solution for nuisance aquatic vegetation. Reproductively viable grass carp now exist in many watersheds in the United States. In the Great Lakes basin, grass carp were first discovered in the 1980s with direct confirmation of...
Authors
Corbin David Hilling, Adam J. Landry, James Roberts, Nathan Thompson, Cathy A. Richter, Ryan E. Brown, Christine M. Mayer, Song S. Qian

Reproduction of grass carp (Ctenopharyngodon idella) in the Maumee River, Ohio: Part 1—Spawning area identification using bidirectional drift modeling Reproduction of grass carp (Ctenopharyngodon idella) in the Maumee River, Ohio: Part 1—Spawning area identification using bidirectional drift modeling

Control of invasive grass carp (Ctenopharyngodon idella) populations in the Western Lake Erie Basin merits adaptive management guided by the best available science. Presently (2024), capture of mature grass carp in rivers during spawning season is most efficient, so knowing when and where grass carp are spawning is essential information for natural resource agencies. Using bidirectional...
Authors
P. Ryan Jackson, Charles V. Cigrand, Patrick M. Kocovsky, Nicole R. King, Alan Kasprak, Evan M. Lindroth, Henry F. Doyle, Song S. Qian, Christine M. Mayer

Classification of lakebed geologic substrate in autonomously collected benthic imagery using machine learning Classification of lakebed geologic substrate in autonomously collected benthic imagery using machine learning

Mapping benthic habitats with bathymetric, acoustic, and spectral data requires georeferenced ground-truth information about habitat types and characteristics. New technologies like autonomous underwater vehicles (AUVs) collect tens of thousands of images per mission making image-based ground truthing particularly attractive. Two types of machine learning (ML) models, random forest (RF)...
Authors
Joseph K. Geisz, Phillipe Alan Wernette, Peter C. Esselman
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